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Keynote speakers

Prof. Dr. Dongheui Lee

Technische Universität München - Human-Centered Assistive Robotics


Title of the talk: Robot Learning for Industry 4.0

Abstract: Conventional industrial robots execute exactly known repetitive tasks without uncertainties. One of challenges in industrial robots for industry 4.0 is intuitive interfaces for robot programming and adaptation to a systematically changing environment.
In this talk, I will introduce our recent research on robot learning from demonstrations which could be applied to industrial tasks.
Especially effective kinesthetic teaching method, learning of structured tasks, effective haptic exploration strategy, and conditional skills will be discussed.


Dr. Serena Ivaldi

INRIA Nancy Grand-Est - Team LARSEN


Title of the talk: Learning and prediction for human-humanoid collaboration

Abstract: What do we need for humanoids to collaborate smoothly and intuitively with humans as any other human would do?
In this talk I will present some of the strategies we are currently pursuing to develop robots that can exhibit human-like collaborative behaviors.
First, I will present a method to learn probabilistic models of motions, that we can use for prediction of intention. Such predictions are fed to our “human aware” whole-body controller, which generates safe motions for the humanoid platform that also consider the human balance.
We use teleoperation to show complex behaviors to the robot, so as to generate appropriate movements when interacting with humans.


Prof. Fabrizio Caccavale

Università degli Studi della Basilicata


Title of the talk:   Aerial Robotic Manipulation: Challenges and Perspectives

Abstract: This keynote talk will be focused on research challenges and applications perspectives of aerial robotic manipulators, i.e., UAVs (Unmanned Aerial Vehicles) equipped with one or more robotic arms.
The talk will provide a brief overview of the evolution of aerial manipulation, starting from the early developments, as those achieved in the FP7 project ARCAS, to the more recente results achieved in the framework of the H2020 project AEROARMS.
Then, the main research challenges and open issues related to perception, control and planning will be reviewed, with special emphasis on aerial manipulators physically interacting with the environment and systems composed by multiple aerial robots.
Applications of aerial manipulation in some promising fields (e.g., inspection and and maintenance, transportation and deployment of equipment) will be then discussed, together with current limitations and future developements.